Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20182
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dc.contributor.authorAlnaim, N-
dc.contributor.authorAbbod, M-
dc.contributor.authorAlbar, A-
dc.date.accessioned2020-02-04T15:45:12Z-
dc.date.available2019-10-01-
dc.date.available2020-02-04T15:45:12Z-
dc.date.issued2019-12-16-
dc.identifier.citationProceedings of the 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT 2019). Ankara, Turkey, 11-13 October, 2019, 6 pp.en_US
dc.identifier.isbn9781728137896-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/20182-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectCNN-
dc.subjectconvolutional neural network-
dc.subjectdeep learning-
dc.subjectgesture recognition-
dc.subjecthand gesture recognition-
dc.subjectstroke-
dc.titleHand Gesture Recognition Using Convolutional Neural Network for People Who Have Experienced A Strokeen_US
dc.typeConference Paperen_US
dc.identifier.doihttps://doi.org/10.1109/ISMSIT.2019.8932739-
dc.relation.isPartOf3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedings-
pubs.publication-statusPublished-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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